Petra Schneider

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2006-2010 Computer Science University of Groningen, Groningen, Netherlands 
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Michael Biehl grad student 2006-2010 RUG
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Publications

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Bruns D, Gawehn E, Kumar KS, et al. (2020) Cover Feature: Identification of Synthetic Activators of Cancer Cell Migration by Hybrid Deep Learning (ChemBioChem 4/2020) Chembiochem. 21: 431-431
Bruns D, Gawehn E, Kumar KS, et al. (2019) Identification of synthetic activators of cancer cell migration by hybrid deep learning. Chembiochem : a European Journal of Chemical Biology
Reker D, Schneider P, Schneider G, et al. (2017) Active learning for computational chemogenomics. Future Medicinal Chemistry
Schneider P, Müller AT, Gabernet G, et al. (2017) Hybrid Network Model for "Deep Learning" of Chemical Data: Application to Antimicrobial Peptides. Molecular Informatics. 36
Fouad S, Tino P, Raychaudhury S, et al. (2013) Incorporating privileged information through metric learning Ieee Transactions On Neural Networks and Learning Systems. 24: 1086-1098
Biehl M, Bunte K, Schneider P. (2013) Analysis of Flow Cytometry Data by Matrix Relevance Learning Vector Quantization Plos One. 8
Bunte K, Schneider P, Hammer B, et al. (2012) Limited Rank Matrix Learning, discriminative dimension reduction and visualization Neural Networks. 26: 159-173
Schleif FM, Villmann T, Hammer B, et al. (2011) Efficient Kernelized prototype based classification. International Journal of Neural Systems. 21: 443-57
Arlt W, Biehl M, Taylor AE, et al. (2011) Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors. The Journal of Clinical Endocrinology and Metabolism. 96: 3775-84
Mwebaze E, Schneider P, Schleif FM, et al. (2011) Divergence-based classification in learning vector quantization Neurocomputing. 74: 1429-1435
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